• Title/Summary/Keyword: PIR Sensor

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Intruder Detection System Based on Pyroelectric Infrared Sensor (PIR 센서 기반 침입감지 시스템)

  • Jeong, Yeon-Woo;Vo, Huynh Ngoc Bao;Cho, Seongwon;Cuhng, Sun-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.5
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    • pp.361-367
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    • 2016
  • The intruder detection system using digital PIR sensor has the problem that it can't recognize human correctly. In this paper, we suggest a new intruder detection system based on analog PIR sensor to get around the drawbacks of the digital PIR sensor. The analog type PIR sensor emits the voltage output at various levels whereas the output of the digitial PIR sensor is binary. The signal captured using analog PIR sensor is sampled, and its frequency feature is extracted using FFT or MFCC. The extracted features are used for the input of neural networks. After neural network is trained using various human and pet's intrusion data, it is used for classifying human and pet in the intrusion situation.

Reduction of False Alarm Signals for PIR Sensor in Realistic Outdoor Surveillance

  • Hong, Sang Gi;Kim, Nae Soo;Kim, Whan Woo
    • ETRI Journal
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    • v.35 no.1
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    • pp.80-88
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    • 2013
  • A passive infrared or pyroelectric infrared (PIR) sensor is mainly used to sense the existence of moving objects in an indoor environment. However, in an outdoor environment, there are often outbreaks of false alarms from environmental changes and other sources. Therefore, it is difficult to provide reliable detection outdoors. In this paper, two algorithms are proposed to reduce false alarms and provide trustworthy quality to surveillance systems. We gather PIR signals outdoors, analyze the collected data, and extract the target features defined as window energy and alarm duration. Using these features, we model target and false alarms, from which we propose two target decision algorithms: window energy detection and alarm duration detection. Simulation results using real PIR signals show the performance of the proposed algorithms.

A Design of Standing Human Body Sensing System Using Rotation of a PIR Sensor (초전형 적외선 센서 회전방식을 이용한 정지 인체 감지 시스템에 관한 연구)

  • Cha, Hyeong-Woo;Cho, Min-Yyeong
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.1
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    • pp.129-136
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    • 2016
  • A novel sensing system for standing and moving human body using PIR(pyroelectric infrared) sensor was development. The system consists of power supply, interface circuit of PIR sensor, small stepping motor, and digital control. The detecting principle for stop human body is detecting the human body when the stepping motor sticking the PIR sensor and the fresnel lens has rotated by 180 degree at six second and has stopped the motor for no detecting signal of human body. We developed control algorism for proposed the detection system. The experimentation shows that the detector system had detected length and angle were 6m and 30 degree against as standing and moving human body with $37^{\circ}C$.

Design and Implementation of Bird Repellent System (조류 퇴치 시스템의 설계 및 구현)

  • Hong, Hyunggil;Cho, Yongjun;Woo, Senongyong;Song, Suhwan;Oh, Jangseok;Yun, Haeyong;Kim, Dae Hee
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.18 no.8
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    • pp.104-109
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    • 2019
  • Damage caused by wild animals such as pheasants and magpies is a problem in rural areas. A bird repellent system based on sensing and repelling farm pest animals and birds is proposed herein. This system is equipped with a bird model part on a supporting platform and comprises a sound source generator, a system control user interface, and a sensor in the center. The sensor is composed of an illuminance sensor and a PIR sensor. The illuminance sensor distinguishes between day and night, whereas the PIR sensor detects birds or wild animals and outputs them from the sound generator. The entire system can be managed easily by the user interface and system control.

Implementation of Smart Control System based on Intelligent Dimming with LEDs

  • Lee, Geum-Boon
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.5
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    • pp.127-133
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    • 2016
  • In this paper, an intelligent dimming control system is designed and implemented with the human visual response function using CDS sensor, PIR sensor and temperature sensor, etc. The proposed system is designed to detect a moving object by PIR sensor and to control the LED dimming considering the human visual response. Also, the dimming of LED light can modulate on the app, and simultaneously control dimming in real-world environments with smart phone app. A high-temperature warning or a fire hazard information is transmitted to user's smart phone according to sensor values and Data graph are provided as part of data visualization. Connecting the hardware controller, the proposed intelligent smart dimming control system is expected to contribute to the power reduction interior LED, smart grid building and saving home combining with internet of things.

Development of Individual Trespassing Detector for Building (개체 독립형 건축물 침입감지기 개발)

  • Kim, Myung-Ho
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.57 no.4
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    • pp.400-403
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    • 2008
  • In this work, an individual trespassing detector using a PIR sensor to detect infrared rays only between the range of $9.4{\sim}10.4{\mu}m$ radiated from the body is proposed. This detector using FIR sensor detects not insect or object but human body, It doesn't restrict the inhabitant's behavior because the filter of pm sensor is designed to have face angle and the detector only detects the window area. The existing wide angle filter, RIR sensor, detects $30^{\circ}$ angle while the face angle filter sensor on this paper detects $11^{\circ}$ angle with 3cm of face angle filter from 2m of detecting distance. In case of interruption of electric power, 250mAh of lithium-ion battery has worked for 10 hours consuming 22mA in normal state. Meanwhile, in case of interruption of electric power, 250mAh of battery has worked for 4 hours consuming 60mA in trespassing detecting state. Projector, receptor, controller and alarm are put on one PCB in order to make it convenient to install without any special installation skill.

Detection of Moving Direction using PIR Sensors and Deep Learning Algorithm

  • Woo, Jiyoung;Yun, Jaeseok
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.3
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    • pp.11-17
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    • 2019
  • In this paper, we propose a method to recognize the moving direction in the indoor environment by using the sensing system equipped with passive infrared (PIR) sensors and a deep learning algorithm. A PIR sensor generates a signal that can be distinguished according to the direction of movement of the user. A sensing system with four PIR sensors deployed by $45^{\circ}$ increments is developed and installed in the ceiling of the room. The PIR sensor signals from 6 users with 10-time experiments for 8 directions were collected. We extracted the raw data sets and performed experiments varying the number of sensors fed into the deep learning algorithm. The proposed sensing system using deep learning algorithm can recognize the users' moving direction by 99.2 %. In addition, with only one PIR senor, the recognition accuracy reaches 98.4%.

An Adaptive Person/Vehicle Detection Algorithm for PIR Sensor (적외선 센서 기반의 사람/차량 탐지 적응 알고리즘)

  • Kim, Young-Man;Park, Jang-Ho;Kim, Li-Hyung;Park, Hong-Jae
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.8
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    • pp.577-581
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    • 2009
  • Recently, various new services based on ubiquitous computing and networking have been developed. In this paper, we contrive Adaptive PIR(Pyroelectric Infrared Radiation) Detection Algorithm (APIDA), a PIR-sensor based digital signal processing algorithm, that detects the movement of an invading object by the recognition of heat change in the detection area, since the object like person or car emits heat(i.e., infrared radition), We devised APIDA as a highly reliable signal processing algorithm that increases the successful detection rate and decreases the false alarm rate in the intruding object detection. According to performance evaluation experiment, APIDA shows the successful detection rate of 90% and low false alarm in the plain area.

Study on the Low Power Service with User State Recognition Algorithm Using Sensors (센서 기반 사용자 상태 인식 알고리즘을 이용한 저전력 서비스에 관한 연구)

  • Lee, Do-Kyeong;Hong, Won-Kee;Cha, Kyung-Ae
    • IEMEK Journal of Embedded Systems and Applications
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    • v.10 no.2
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    • pp.91-99
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    • 2015
  • The electric power consumed by the embedded devices has become a critical issue because the reduction of power consumption is an important factor to prolong the battery-operated devices' lifetime. Many researches and techniques to reduce the power consumption have been proposed and developed but any power method cannot guarantee optimal power consumption of an embedded device - it would be faced with numerous situation - in all ways. Specifically, power researches for embedded devices deployed in the industry field have hardly been done. In this paper, low power service is proposed to minimize power reduction with the several usage status of embedded devices in the industry field. The usage status is basically classified according to the distance between the device and the user which is obtained by the ultrasonic and PIR sensor. The performance evaluation shows that the proposed scheme can reduce the power consumption by up to 45.3% compared to the device with no power reduction scheme. It also shows that the power consumption of the proposed scheme is 5.2% ~ 16.8% lower than that of the timeout scheme.